Recent discussions and studies highlight growing concerns about the impact of GitHub Copilot on code quality. A study analyzing codebases over a four-year period suggests that GitHub Copilot may contribute to a decline in code quality by increasing the likelihood of bugs and promoting the use of copy-pasted code, encapsulated by the principle 'Fast. Cheap. Good. Pick Two.' Another study examining 153 million lines of code found a strong correlation between the use of Copilot and the introduction of 'mistake code,' identifying troubling trends in code quality maintenance when AI is used to write code. Despite these concerns, some users, including technology enthusiasts, express support for GitHub Copilot, acknowledging its potential downsides in its current early stage.
New GitHub Copilot Research Finds 'Downward Pressure On Code Quality' https://t.co/QFHsaPKaKv
Research finds "downward pressure on code quality" written by GitHub Copilot: the study analyzed 153 million lines of code, identifying "disconcerting trends" for maintaining a codebase over the long term. Correlations were found between the amount of code written with AI
"The bottom line is that 'using Copilot' is strongly correlated with 'mistake code' being pushed to the repo." https://t.co/gCxoDeYxeK
What concerns you about #AI assisted code? What are your teams doingto combat those concerns?
Refact aims to make code-generating AI more appealing to enterprises: https://t.co/QWDTtDVyr5 by TechCrunch #infosec #cybersecurity #technology #news
I am a big fan of GitHub Copilot, but, at least in these early innings, it seems to be pushing mediocre code that often needs to be reverted. https://t.co/FrwJd9QcyF
Study of codebases over a 4 year period show Github Copilot lowers the quality of code over time by increasing the likelihood of bugs being introduced and copy & pasted code. This is a healthy counterpoint to studies that show improved productivity. Fast. Cheap. Good. Pick Two. https://t.co/D4AB5P4FAx
Github copilot suggestions are really annoying, and actually mostly disruptive to coding flow.